Up Lead cloud etl, dw Jobs – 84 Open Jobs Today

Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
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- Full-time
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9d
Sr. Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
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Senior Big Data Engineer II
MetLife —Noida, Uttar Pradesh
- Full-time
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8d
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12d
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EXL Service —Noida, Uttar Pradesh
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UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
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Software Engineer
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
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Senior Big Data Engineer (Scala | PySpark | AWS Glue | Databricks)
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
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8d
4195- Staff Engineer - Healthcare Interoperability (Gravity)
Innovaccer Analytics —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- HIPAA
- Health insurance
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NTT Ltd —Noida, Uttar Pradesh
- Full-time
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IN_Senior Associate 2_Oracle Fusion _Oracle_Advisory_Noida
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- Full-time
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Droisys Inc —Unknown, Uttar Pradesh
- Azure
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HCLTech —Noida, Uttar Pradesh
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Manager - AI & Data (Manager)
Axtria, Inc. —Noida, Uttar Pradesh
- Full-time
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4350- Staff Engineer - Backend (Gravity)
Innovaccer Analytics —Noida, Uttar Pradesh
- Full-time
- Azure
- Java
- Databases
- Health insurance
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12d

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Senior Data Engineer

WebSenor InfoTech -
Noida, Uttar Pradesh

Quick apply

Job details

Full-time

Qualifications

CI/CD
Azure
Git
SQL
Continuous integration
Scrum
GitHub
APIs
ETL
Agile
Apache
AI
Python
Design patterns

Full job description

Job Title: Senior Data Engineer

Experience: 7+ Years
Employment Type: Full-Time

About the Role

We are looking for an experienced Senior Data Engineer to lead cloud data modernization initiatives and build scalable, AI-ready data platforms. The ideal candidate should have strong expertise in Databricks, PySpark, Azure Data Factory (ADF), Azure Logic Apps, and Apache Airflow, with hands-on experience in designing, orchestrating, and optimizing enterprise-grade data pipelines.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Databricks (PySpark), Azure Data Factory (ADF), Azure Logic Apps, and Apache Airflow.
Build and manage end-to-end orchestration frameworks by integrating Airflow DAGs with ADF and Logic Apps.
Implement advanced workflow orchestration patterns including event-driven, micro-batch, and hybrid scheduling.
Ensure pipeline dependency management, execution reliability, and operational excellence.
Develop high-performance ETL/ELT pipelines using Databricks and Delta Lake architecture.
Implement data observability, monitoring, logging, and alerting mechanisms across workflows.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Integrate pipelines with Azure services such as Azure Data Lake Storage (ADLS Gen2), Azure Blob Storage, and Event Triggers.
Implement CI/CD pipelines using GitHub Actions or similar DevOps tools.
Ensure data quality, governance, security, and compliance across the data platform.
Collaborate with Data Science and AI/ML teams to enable AI/ML and GenAI data readiness.
Mentor junior engineers and establish best practices for orchestration, pipeline development, and data engineering.

Required Skills & Qualifications

7+ years of experience in Data Engineering.
Strong expertise in:
Databricks (PySpark, Delta Lake)
Azure Data Factory (ADF)
Azure Logic Apps
Apache Airflow
Strong programming skills in Python and Advanced SQL.
Experience building enterprise-scale orchestrated data platforms with multiple tool integrations.
Solid understanding of ETL/ELT design patterns and workflow orchestration frameworks.
Experience with cloud-native data architectures, preferably on Microsoft Azure.
Hands-on experience with monitoring, logging, alerting, and pipeline reliability.
Experience working with Azure Data Lake Storage (ADLS Gen2), Azure Blob Storage, and event-driven architectures.
Knowledge of CI/CD practices and tools such as GitHub Actions.
Strong understanding of data governance, security, and compliance best practices.

Preferred Qualifications

Experience with event-driven architectures and API integrations.
Exposure to AI/ML data pipelines and MLflow.
Knowledge of Data Lakehouse architecture and governance frameworks.
Azure and Databricks certifications are an added advantage.
Experience working in Agile/Scrum development environments.

Preferred Technology Stack

Databricks (PySpark, Delta Lake)
Azure Data Factory (ADF)
Azure Logic Apps
Apache Airflow
Python
SQL
Azure Data Lake Storage (ADLS Gen2)
Azure Blob Storage
GitHub Actions
MLflow
Azure Cloud

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

Quick apply

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lead cloud etl, dw jobs in up

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